November 2018
Intermediate to advanced
556 pages
14h 42m
English
In the previous section, we explored the capabilities of Stream Analytics. We calculated the efficiency of a compressor station and saved the results in data lake. In this simple exercise, we will reuse the data processed to produce a simple report of the average efficiency of our machines. We will do this using Data Lake Analytics. This is a big data service for processing a huge amount of data. It supports a very efficient parallelization mechanism and a map-reduce pattern. Indeed, Data Lake Analytics will compile any U-SQL functions that we write to maximize efficiency and speed up data processing: